leadingbridge commited on
Commit
82a0bb9
1 Parent(s): c6b46ef

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +7 -7
app.py CHANGED
@@ -79,27 +79,27 @@ def translate_to_english(text_to_translate):
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  # Gradio Output Model
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  with gr.Blocks() as demo:
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  gr.Markdown("Welcome to the Chinese NLP demo! Please select a model tab to interact with: ")
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- with gr.Tab("🗣️OpenAI Chatbot"):
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- gr.Markdown("Interact with an OpenAI chatbot that can respond to your messages. Type your message in the input box and click the 'SEND' button to send it to the chatbot.")
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  chatbot = gr.Chatbot()
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  message = gr.Textbox(placeholder=prompt)
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  state = gr.State()
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  submit = gr.Button("Send")
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  submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
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  with gr.Tab("🤗Sentiment Analysis"):
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- gr.Markdown("Perform sentiment analysis on a Chinese sentence. Enter a sentence in Chinese in the input box and click the 'proceed' button to get the sentiment analysis result.")
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  inputs = gr.Textbox(placeholder="Type a Chinese sentence here, either positive or negative in sentiment.")
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  outputs = gr.Textbox(label="Sentiment Analysis")
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  proceed_button = gr.Button("Proceed")
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  proceed_button.click(fn=sentiment_analysis, inputs=inputs, outputs=outputs)
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- with gr.Tab("🀄Translation to Chinese"):
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- gr.Markdown("Translate an English sentence to Chinese. Enter an English sentence in the input box and click the 'Translate' button to get the translation result in Chinese.")
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  inputs = gr.Textbox(placeholder="Enter a short English sentence to translate to Chinese here.")
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  outputs = gr.Textbox(label="Translation Result")
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  proceed_button = gr.Button("Translate")
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  proceed_button.click(fn=translate_to_chinese, inputs=inputs, outputs=outputs)
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- with gr.Tab("🔤Translation to English"):
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- gr.Markdown("Translate a Chinese sentence to English. Enter a Chinese sentence in the input box and click the 'Translate' button to get the translation result in English.")
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  inputs = gr.Textbox(placeholder="Enter a short Chinese sentence to translate to English here.")
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  outputs = gr.Textbox(label="Translation Result")
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  proceed_button = gr.Button("Translate")
 
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  # Gradio Output Model
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  with gr.Blocks() as demo:
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  gr.Markdown("Welcome to the Chinese NLP demo! Please select a model tab to interact with: ")
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+ with gr.Tab("🗣️Chatbot"):
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+ gr.Markdown("This is a Chinese chatbot powered by the OpenAI language model. Enter your message below in Chinese and the chatbot will respond.")
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  chatbot = gr.Chatbot()
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  message = gr.Textbox(placeholder=prompt)
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  state = gr.State()
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  submit = gr.Button("Send")
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  submit.click(chatgpt_clone, inputs=[message, state], outputs=[chatbot, state])
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  with gr.Tab("🤗Sentiment Analysis"):
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+ gr.Markdown("This is a self-trained fine-tuned model using Chinese BERT for sentiment analysis. Enter a sentence in Chinese in the input box and click the 'proceed' button to get the sentiment analysis result.")
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  inputs = gr.Textbox(placeholder="Type a Chinese sentence here, either positive or negative in sentiment.")
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  outputs = gr.Textbox(label="Sentiment Analysis")
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  proceed_button = gr.Button("Proceed")
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  proceed_button.click(fn=sentiment_analysis, inputs=inputs, outputs=outputs)
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+ with gr.Tab("🀄Chinese Translation"):
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+ gr.Markdown("Translate an English sentence to Chinese using the OpenAI engine. Enter an English short sentence in the input box and click the 'Translate' button to get the translation result in Chinese.")
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  inputs = gr.Textbox(placeholder="Enter a short English sentence to translate to Chinese here.")
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  outputs = gr.Textbox(label="Translation Result")
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  proceed_button = gr.Button("Translate")
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  proceed_button.click(fn=translate_to_chinese, inputs=inputs, outputs=outputs)
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+ with gr.Tab("🔤English Translation"):
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+ gr.Markdown("Translate a Chinese sentence to English using the OpenAI engine. Enter a Chinese short sentence in the input box and click the 'Translate' button to get the translation result in English.")
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  inputs = gr.Textbox(placeholder="Enter a short Chinese sentence to translate to English here.")
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  outputs = gr.Textbox(label="Translation Result")
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  proceed_button = gr.Button("Translate")